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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:2, February, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(2): 790-794
DOI: https://doi.org/10.20546/ijcmas.2018.702.100


Diversity Analysis in Linseed (Linum usitatissimum L.)
Satyendra Kumar, Aarti Sharma*, Purushottam and M.P. Chauhan
Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture and Technology, Faizabad-224 229, UP, India
*Corresponding author
Abstract:

In this experiment 66 linseed genotypes, along with three check varieties (T-397, Mukta and Hira) were analyzed for genetic diversity by Mahalanobis D2 statistics. Presence of diversity pave way for exploitation of genotypes in breeding programme intended to improve yield and yield attributing traits. The cluster analysis grouped 66 linseed genotypes into 9 distinct clusters. Genotypes grouped into cluster II were showed maximum intra-cluster diversity while cluster V showed minimum intra-cluster diversity. The maximum inter-cluster diversity was observed between cluster VIII and V while minimum inter-cluster diversity was observed between cluster IV and III. From cluster mean value, genotypes in cluster VI, VII and IV deserve consideration for their direct use as parents in hybridization programs to develop high yielding linseed varieties. Thus, hybridization among these cluster pairs is recommended for getting high transgressive segregants in F2 generation.


Keywords: D2 statistics, Linseed, Inter-cluster, Intra-cluster

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How to cite this article:

Satyendra Kumar, Aarti Sharma, Purushottam and Chauhan, M.P. 2018. Diversity Analysis in Linseed (Linum usitatissimum L.).Int.J.Curr.Microbiol.App.Sci. 7(2): 790-794. doi: https://doi.org/10.20546/ijcmas.2018.702.100
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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